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Python
C/C++
Bash
Java
Javascript

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Last updated on 2023-05-20.

Main

Jinseo Choi

I am a CS M.S. student at Gachon university, advised by Prof. Donghyun Kang. I am currently working in Noslab. My research interests lie in computer systems, with a focus on operating systems, storage systems, and virtualization. Recently, I am interested in accelerating machine learning pipeline focused on computer systems. I like technical conversations about any CS field that gives insight. If anyone interested, please contact me.

Education

M.S. student, Computer Engineering

Seongnam-si, Gyeonggi-do

Gachon University

Current - 2023

  • Focused on Machine learning Pipeline Optimization.
  • Running project to implementation blockchain network on IoT device and stability evaluation.

B.S., Computer Engineering

Changwon-si, Gyeongsangnam-do

Changwon National University

2022 - 2018

  • Focused on Linux kernel, Storage system Studied Operating system, Computer network, Software engineering, Alogrithm, Data structure, Database
  • Ran project to Designed a housing price index prediction model with local-economic data and developed housing policy establishment assist application for local-government officer.

A.S., Robot Mechatronics

Changwon-si, Gyeongsangnam-do

Masan University

2018 - 2016

  • 3D modeling(CATIA), PCB design(OrCAD), Embeded programming(ATmega, ARM Cortex)

Research Experience

Master’s course researcher

Noslab

Gachon University

Current - 2023

  • Developed machine learning pipeline parallelism framework between CPU and GPU. Analyzed the PyTorch framework with a focus on GPU launch.
  • Ran project to deep learning based marine P&ID digital transformation.

Master’s course researcher

Noslab

Changwon National University

2022 - 2022

  • Analyzed TensorFlow with I/O interference. Developed data shuffle by parallelism. Analyzed Machine learning pipeline bottleneck.

Undergraduate Researcher

Noslab

Changwon National University

2022 - 2018

  • Analyzed linux kernel I/O scheduler, Cgroups virtualization. Studied storage system(especially SSD). Test DiskSim, SSDSim and legacy code porting to current system.

Publications

딥 러닝 훈련 시간 개선을 위한 쓰레드 기반 셔플링 기법

정보과학회 컴퓨팅의 실제 논문지(KTCP), Vol. 46, No 6, pp. 75-80, 2022.

N/A

2022

  • 최진서, 강동현

훈련 및 검증 성능 개선을 위한 텐서플로우 병렬 처리 기법

정보과학회논문지(JOK), Vol. 49. No. 6, pp. 407-415, 2022

N/A

2022

  • 최진서, 강동현

딥 러닝 기반 테이블 검출 기법

한국컴퓨터종합학술대회 논문집(KCC), pp. 930-932, 2022.

N/A

2022

  • 최진서, 강동현

Overlapped data processing scheme for Accelerating Training and validation in machine learning

IEEE Access, Vol. 10, pp. 72015-72023, 2022

N/A

2022

  • 최진서, 강동현

딥 러닝 연산을 위한 GPU/CPU 성능분석

한국컴퓨터종합학술대회 논문집(KCC), pp. 1145-1147, 2022.

N/A

2022

  • 최진서, 강동현

I/O 간섭에 의한 텐서플로우 성능분석

In Proceedings of the 한국컴퓨터종합학술대회 논문집(KCC), pp. 1145-1147, 2016.

N/A

2021

  • 최진서, 강동현
  • 학부생 부문 우수논문상🏆

Interleaved data processing scheme for optimizing tensorflow framework

In Proceedings of the IEEE 11th International Conference on Consumer Electronics(ICCE), pp. 1-3, 2021.

Berlin, Germany

2021

  • 최진서, 조민선, 강동현